{"id":"W4246047251","doi":"10.1111/1468-0319.12249","title":"Japan","year":2016,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Falling (accident); Investment (military); Slowdown; Economic slowdown; Goods and services; Demographic economics; International economics; Economy; Economic growth; Geography; Political science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005782102,0.001007556,0.0004890036,0.001347021,0.001874822,0.002320128,0.0005278179,0.001128848,0.0948199],"category_scores_gemma":[0.0005768401,0.0005027885,0.0007266302,0.001534716,0.0003429371,0.001668777,0.001720771,0.001222808,0.04605328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163533,"about_ca_system_score_gemma":0.003751304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944986,"about_ca_topic_score_gemma":0.0243293,"domain_scores_codex":[0.9996123,0.00003301473,0.00004636218,0.0001243205,0.0000930779,0.00009094994],"domain_scores_gemma":[0.9990221,0.00002683001,0.00008389005,0.00009559582,0.0006091816,0.0001624323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006082663,0.0001442505,0.01987338,0.002633797,0.0001864477,0.002064219,0.001388021,0.000897789,0.01362448,0.02807179,0.6141454,0.3163621],"study_design_scores_gemma":[0.00002643883,0.00005919438,0.01717557,0.0001267548,0.00006243241,0.0002876561,0.0005216887,0.0002788264,0.001392831,0.001353153,0.9786805,0.00003486918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0858181,0.01450455,0.01300733,0.01540918,0.009617329,0.0005214079,0.02349383,0.002584379,0.8350439],"genre_scores_gemma":[0.1007807,0.007811324,0.01038294,0.002900166,0.0007780447,0.0002928128,0.0140917,0.0004250361,0.8625373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0948199,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575940432871758,"score_gpt":0.2009880693132109,"score_spread":0.1652286649844933,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}